QR Code Generator
QR Code Generator
Developed a dynamic web application that generates instant, scan-ready payment QR codes using bank account details, eliminating the need for a traditional Virtual Payment Address (VPA).
Key Features: Engineered an intuitive interface that dynamically converts Account Numbers and IFSC Codes into standard UPI-compliant payment strings (upi://pay?...) in real-time.
Implementation: Integrated a custom JavaScript module to generate QR codes with high error correction (Level H) and utilized HTML2Canvas to enable one-click downloadable, print-ready A4-sized posters for both personal and business accounts.
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QuickBite – Food Ordering System
QuickBite – Food Ordering System
Developed a dynamic web application to streamline the process of ordering food online, featuring real-time order tracking and automated time-based management.
Tech Stack: PHP, MongoDB (NoSQL), HTML, CSS, JavaScript.
Key Features: Leveraged the MongoDB PHP Driver to implement robust CRUD (Create, Read, Update, Delete) operations for managing customer orders in a non-relational database.
Implementation: Engineered an intelligent backend logic system that automatically calculates order status (Active, Can't Cancel, Delivered) based on elapsed time, providing a seamless user experience.
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CGPA Calculator
CGPA & SGPA Calculator System
Developed a dynamic web application to automate the calculation of Semester Grade Point Average (SGPA) and Cumulative Grade Point Average (CGPA), streamlining academic performance tracking.
Key Features: Built a robust backend using Django Forms and Object-Relational Mapping (ORM) to handle up to 8 subjects and 8 semesters with automatic grade point conversion.
Implementation: Designed custom validation logic to ensure accurate calculations based on credits, marks, and grade points (O, A+, A, B+, B, C, F).
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Prediction of Plant Health with the Image of Leaf
Plant Disease Recognition System
Developed an automated system to identify plant diseases from leaf images, achieving 96.4% validation accuracy on a dataset of over 87,000 images.
Key Features: Designed a custom Convolutional Neural Network (CNN) architecture to classify 38 different plant diseases across various crops.
Implementation: Built an interactive web interface using Streamlit with a robust image validation module that filters out non-leaf images (e.g., human faces, screenshots, cartoons).
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